Scale Region Recognition Network for Object Counting in Intelligent Transportation System
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China
2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K
Funder
National Natural Science Foundation of Shandong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10339106/10194472.pdf?arnumber=10194472
Reference52 articles.
1. Scale Pyramid Network for Crowd Counting
2. Locate, size, and count: Accurately resolving people in dense crowds via detection;sam;IEEE Trans Pattern Anal Mach Intell,2021
3. SCAR: Spatial-/channel-wise attention regression networks for crowd counting
4. Scale Aggregation Network for Accurate and Efficient Crowd Counting
5. Point in, Box Out: Beyond Counting Persons in Crowds
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